NY · On-site
$80 - $120/hr
Responsibilities * Design and implementation of solutions using machine learning * Independent work on analytical and consulting projects * Close collaboration with the client, process analysis ...
Algomine
1 job near Columbus, OH
$80 - $120/hr
Other
Posted 11 days ago
Job description
Responsibilities
#J-18808-Ljbffr- Design and implementation of solutions using machine learning
- Independent work on analytical and consulting projects
- Close collaboration with the client, process analysis, requirements gathering
- Conducting exploratory analyses
- Prototyping analytical solutions (training models, testing approaches)
- Development and deployment of production‑level solutions
- Presentation of concepts and business cases, discussion of obtained results
- Evaluation of new technologies, libraries, approaches, and proposing innovative solutions
- Higher education in a specific field: econometrics, quantitative methods, mathematics, computer science
- Min. 2 years of experience as a Data Scientist / implementing commercial analytical projects (predictive, classification, segmentation, recommendation models, optimization, NLP)
- Strong data processing skills (SQL, Python: pandas, numpy, pyspark, polars)
- Good knowledge of machine learning techniques and algorithms and their implementation in Python
- Very good knowledge of Python, including object‑oriented programming, code optimization
- Knowledge of good programming practices (code review, CICD)
- Good communication skills, ability to engage with business, and present complex concepts
- Experience in consulting / working for various external clients, possibly internal ones (e.g., a company's analytics department) / experience in several industries
- Experience in end‑to‑end projects: from design to implementation
- Experience in implementing projects in the following areas: NLP, LLM, GenAI
- Knowledge of tools for processing large data sets (Apache Spark)
- Knowledge of at least one cloud environment: AWS, Azure, GCP
- Modern technology stack and openness to implementing new solutions
- Participation in diverse and technologically advanced Data Science projects
- Work in a dedicated Data Science team
- Private healthcare and sports card
- Flexible working hours and the possibility of 100% remote work
- Team‑building events and unforgettable company events
- No dress code